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Department of Clinical Medicine, is to use Danish register-based data to validate the risk-stratification tool developed in the Welsh data. As such, a background in prediction modeling and experience working
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modelling of cell–cell interactions, cell-state transitions, and tissue dynamics and multi-omics integration Applying ML approaches for biomarker discovery, predictive modelling, and development of diagnostic
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, Recombinant protein expression and purification, biochemical and biophysical characterization of nucleic acids Computational model building and structure prediction Single-molecule fluorescence microscopy
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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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capable of assisting younger students in their research projects. Desirable qualifications: Experience with biomolecular prediction, design, and simulation software. Experience with object-oriented
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with biomolecular prediction, design, and simulation software. Experience with object-oriented programming and bioinformatics algorithm development. Experience with database construction. Who we
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
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unified data framework for microbial carbon dioxide conversion, integrating data from methanogens, acetogens, and hybrid projects for standardization, kinetic/thermodynamic measurements, and predictive
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: Recombinant protein expression and purification, biochemical and biophysical protein characterization, protein structure prediction or computational protein design. Furthermore, we expect an interest in
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and analyse model behaviour and predictions. Publishing high-impact research and contributing to outreach and dissemination activities. In addition to the colleagues at Department of Electrical and